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Layers / Data / RAG / Vector databases / MongoDB Atlas Vector Search

MongoDB Atlas Vector Search

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By MongoDB Atlas Vector Search

VECTOR DATABASES

MongoDB Atlas Vector Search — The MongoDB Database. Listed under Vector databases in the Data / RAG layer. 1 of 9 comparison attributes are recorded, each with the page it was read from.

MongoDB is the intelligent data platform for the AI era. Get your ideas to market faster with flexible, real-time data that scales across any cloud.

3 OF 4 SIGNALS HELD · MISSING LICENCE

WebsiteDocsPricing pagemongodb/mongo

What it runs on, and what runs on it

20 cited edges
The differentiator

Computed from the stack graph, both directions. Every cited edge links the page it was read from; a vendor-added one links the vendor’s own source — this is the reason to be here rather than on the vendor’s own site.

RUNS ON / INTEGRATES WITH

  • nothing recorded

USED BY

Open-source signals

LICENCE
not measured
DOWNLOADS 30D
53,920,409
LAST COMMIT
2026-09-10

A HOLLOW RING IS UNMEASURED, NOT ZERO · WE DO NOT SUBSTITUTE A PARENT COMPANY’S REPOSITORY FOR A PRODUCT THAT HAS NONE

Price

We hold no price for this product.

The seller publishes a pricing page, linked above, but we read no rate from it. Either it quotes by sales call rather than in public, or the last reading passed 21 days and was hidden rather than shown stale. If that changes — or if you publish /.well-known/pricing.json — it appears here with a capture date.

How we read prices →

What its categories ask

1 answered · 8 unanswered

9 questions declared by Vector databases. Most rows across the directory read like these.

ATTRIBUTEANSWEREVIDENCE · SOURCE
Index typesvector
“Vector Search Use Cases MongoDB Atlas integrates operational and vector databases in a single, unified platform. Use vector representations of your data to perform semantic search, build recommendation engines, design Q&A systems, detect anomalies, or provide context for generative AI Apps.”
2026-09-12
Deploymentno answer on record
Embedded modeno answer on record
Hybrid searchno answer on record
Licenceno answer on record
Max dimensionsno answer on record
Metadata filteringno answer on record
Multi-tenancyno answer on record
Open sourceno answer on record

A ROW WITH NO ANSWER IS NOT A ROW WITH A “NO” · A VENDOR MAY ANSWER A BLANK ONE, MARKED VENDOR CLAIMED WITH ITS SOURCE · A DOCUMENTED VALUE IS DISPUTED, NOT OVERWRITTEN, AND STAYS VISIBLE WHILE WE RE-READ THE SOURCE

Practitioner reviews

Nobody has written one yet.

A review here is structured, not a star: hardware, scale band, what broke in production, and whether you would choose it again.

NO PERCENTAGE IS SHOWN UNDER FIVE REVIEWS · NO STAR RATINGS, EVER

Also in this category

27 products in Vector databases. Comparison defaults to within the category — pairing this with a GPU cloud would produce a page that means nothing.

airbyteNO DEPENDENTS RECORDEDCOMPARE →
arcadedbNO DEPENDENTS RECORDEDCOMPARE →

USED BY = LISTED PRODUCTS DEPENDING ON IT, IN THIS DIRECTORY

Frequently asked

Is MongoDB Atlas Vector Search open source?
No. MongoDB Atlas Vector Search is listed as a commercial product, so there is no repository behind the figures here and nothing to self-host.
What does a blank mean on the MongoDB Atlas Vector Search page?
That nobody has told us, not that the answer is no. A hollow ring is "no answer on record", which is a different state from a recorded no — and the two look different on purpose. A blank is an absence of evidence, and this page shows how many of its questions are in that state rather than quietly leaving them out.
Where do the MongoDB Atlas Vector Search figures come from?
Each one is read from a public page — usually the vendor's own documentation or pricing page — and carries a link to it with the date it was read. Nothing here is estimated, averaged across sources, or inferred from a similar product. If a figure cannot be traced to a page, it is not published.
Can MongoDB Atlas Vector Search change what this page says?
They can claim the listing and supply or correct values, which are then labelled as theirs. They cannot remove the page, hide a comparison they are losing, or change a figure somebody else recorded with a source. Nothing on the page is for sale. How the site is paid for is set out under money and independence at /our-data#sec5.
Something here is wrong — how do I fix it?
Dispute the value. Every figure links to the page it was read from, so a dispute names the value and gives a source that contradicts it. That is the only lever anyone has over this page, and it is the same lever for the vendor, a competitor and a reader.
Is this listing run by MongoDB Atlas Vector Search?
No. It is built from public sources, and no value on it came from the company. Anyone with an address at mongodb.com can claim it for free. A claim lets the company write the tagline, description and logo, and answer blank questions or add dependencies, each marked as theirs with a source. Prices, licence and OSS figures stay as the directory read them, category changes only through our review, and each can be disputed with a source.

Cite this page

A model that quotes us should quote us correctly. The reading and its date sit inside the citation rather than beside it, because a quotation carrying only a URL goes wrong the week the URL changes.

infratoapp, “MongoDB Atlas Vector Search — Vector databases”, read 12 September 2026. Index types: vector as published at mongodb.com. https://www.infratoapp.com/products/mongodb-atlas-vector-search

What MongoDB Atlas Vector Search can and cannot change here

Claiming MongoDB Atlas Vector Search lets its admins and editors change the tagline, description, logo, docs link and deployment model of every product that org owns — live, labelled as theirs, and logged. Answers to blank questions and dependencies go live too, marked as the owner’s and sourced; a documented answer cannot be overwritten. Everything else on this page is a stated fact with a dispute route: price, licence and OSS figures. Those columns are ungranted at the database level, so they are not a feature we withheld — they are a write that cannot happen. Name, category, website, pricing page and package names can be changed by the owner only through our review. A dispute never deletes a value; it marks it and publishes the correction.

Claim MongoDB Atlas Vector SearchFree · email at mongodb.com